Tyson Condie a Ph.D. student at the University of California, Berkeley, presents findings from innovative research around Hadoop Online efforts lead by Prof. Joseph M. Hellerstein . Tyson describes a modified MapReduce architecture that allows data to be pipelined between operators. This extends the MapReduce programming model beyond batch processing, and can reduce completion times and improve system utilization. Tyson included examples from the HOP - Hadoop Online Prototype project. Slides from this presentation can be found on the Yahoo! Hadoop Blog: http://developer.yahoo.net/blog/archives/2010/03/hadoop_summit_2010_june_29_s...
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